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An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
A hands-on collection of practical notebooks for learning and building with LLMs , including prompt engineering, RAG, fine-tuning, and evaluation. Built for aspiring AI engineers using only free and open-source tools.
A modular multi-agent AI system that classifies and routes documents (Email, JSON, PDF) using LLMs, with shared memory and format-intent detection. Built with Python and Ollama. This project was developed as part of an internship task focused on building a practical multi-agent AI document processing pipeline using LLMs and shared memory.
Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.
Phi φ is a modern superset of PHP that introduces strong typing, advanced OOP features, and a Blade-inspired templating system while maintaining full PHP compatibility.